The swift-lda package

[Tags: bsd3, library]

Online Gibbs sampler for Latent Dirichlet Allocation. LDA is a generative admixture model frequently used for topic modeling and other applications. The primary goal of this implementation is to be used for probabilistic soft word class induction. The sampler can be used in an online as well as batch mode. This package uses an imperative implementation in the ST monad.

[Skip to ReadMe]


Versions0.4.0, 0.4.1,
Change logNone available
Dependenciesarray (>=0.3), base (>=3 && <5), containers (>=0.4), ghc-prim (>=0.2), mwc-random (>=0.12), primitive (>=0.4), vector (>=0.9) [details]
AuthorGrzegorz Chrupała <>
MaintainerGrzegorz Chrupała <>
CategoryNatural Language Processing
Home page
UploadedWed Mar 26 08:49:29 UTC 2014 by GrzegorzChrupala
Downloads530 total (19 in last 30 days)
0 []
StatusDocs available [build log]
Successful builds reported [all 1 reports]




Maintainers' corner

For package maintainers and hackage trustees

Readme for swift-lda-